In this paper, firstly, the algorithms of attribute reduction are researched; they are algorithm based on discernibility matrix, heuristic reduction algorithm based on importance of attribute and improving algorithm based on discernibility matrix.
本文首先对基于区分矩阵的约简算法、基于属性重要性的启发式约简算法及基于区分矩阵的改进的约简算法进行了研究。
参考来源 - 基于粗糙集的高职学生非智力学习因素研究·2,447,543篇论文数据，部分数据来源于NoteExpress
In this article, we introduce a new heuristic based on the importance of attribute contributing to the classification.
文中提出了一种新的启发式算法，它是基于属性对于分类的重要程度的。
In this paper, we introduce an algorithm which is using the importance of attribute with heuristics for feature selection.
本文提出一种基于属性重要度的启发式特征选取算法。
This algorithm takes the importance of attribute as the iterative criterion and finds the least reduction of attribute-set.
该算法以属性重要度为迭代准则得到属性集合的最小约简。
应用推荐